Abstract
Currently, we are witnessing profound changes in the geospatial domain. Driven by recent ICT developments, such as web services, service-oriented computing or open-source software, an explosion of geodata and geospatial applications or rapidly growing communities of non-specialist users, the crucial issue is the provision and integration of geospatial intelligence in these rapidly changing, heterogeneous developments. This paper introduces the concept of Servicification into geospatial data processing. Its core idea is the provision of expertise through a flexible number of web-based software service modules. Selection and linkage of these services to user profiles, application tasks, data resources, or additional software allow for the compilation of flexible, time-sensitive geospatial data handling processes. Encapsulated in a string of discrete services, the approach presented here aims to provide non-specialist users with geospatial expertise required for the effective, professional solution of a defined application problem. Providing users with geospatial intelligence in the form of web-based, modular services, is a completely different approach to geospatial data processing. This novel concept puts geospatial intelligence, made available through services encapsulating rule bases and algorithms, in the centre and at the disposal of the users, regardless of their expertise.
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References
Goodchild, M.F.: A GIScience perspective on the uncertainty of context. Ann. Am. Assoc. Geogr. 1–6 (2018). https://doi.org/10.1080/24694452.2017.1416281
Goodchild, M.F.: Reimagining the history of GIS. Ann. GIS 24(1), 1–8 (2018). https://doi.org/10.1080/19475683.2018.1424737
Lee, J.G., Kang, M.: Geospatial big data: challenges and opportunities. Big Data Res. 2(2), 74–81 (2015)
Thatcher, J., Eckert, J., Shears, A. (eds.).: Thinking Big Data in Geography: New Regimes, New Research. University of Nebraska Press, Lincoln, London (2018)
Tolpekin, V.A., Stein, A.: The core of GIScience: a systems-based approach. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC) (2012)
Vandermerwe, S., Rada, J.: Servitization of business: adding value by adding services. Eur. Manag. J. 6(4), 314–324 (1988)
Hildebrandt, D., Döllner, J.: Service-oriented, standards-based 3D geovisualization: potential and challenges. Comput. Environ. Urban Syst. 34(6), 484–495 (2010)
Farmer, C.J.: Building streaming GIScience from context, theory, and intelligence (2012)
Information Resources Management Association, (ed.): Geospatial research: concepts, methodologies, tools, and applications. Information Science Reference, Hershey, PA (2016)
Maerki, U., König, H.: Services veraendern die Welt. W. Wirtsch. Inform. 48, 229 (2006)
Erl, T., Merson, P., Stoffers, R.: Service-Oriented Architecture: Analysis and Design for Services and Microservices. Prentice Hall, Upper Saddle River (2017)
Brodlie, K., Fairbairn, D., Kemp, Z., Schroeder, M.: Connecting People, Data and Resources. Distributed Geovisualization. ICA. Elsevier, Oxford (2005)
Wise, S.: GIS Fundamentals. CRC Press, Boca Raton (2016)
Kitchin, R.: Big Data, new epistemologies and paradigm shifts (2014)
Baines, T., Lightfoot, H.: Made to Serve: How Manufacturers can Compete Through Servitization and Product Service Systems. Wiley, Hoboken (2013)
MacEachren, A.M., Kraak, M.J.: Research Challenges in Geovisualization. Cartogr. Geogr. Inf. Sci. 28(1), 3–12 (2013)
Karimi, H.A. (ed.).: Big Data: Techniques and Technologies in Geoinformatics. CRC Press, Boco Raton (2014)
Worboys, M.F., Duckham, M.: GIS: A Computing Perspective. CRC Press, Boco Raton (2004)
Roddick, J.F., Hornsby, K., de Vries, D.: A unifying semantic distance model for determining the similarity of attribute values (2003)
Acknowledgements
Part of this research work is supported by a PhD grant from the HPI Research School for Service-Oriented Systems Engineering at the Hasso Plattner Institute for Digital Engineering, University of Potsdam. This funding is gratefully acknowledged.
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Fricke, A., Döllner, J., Asche, H. (2018). Servicification – Trend or Paradigm Shift in Geospatial Data Processing?. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10962. Springer, Cham. https://doi.org/10.1007/978-3-319-95168-3_23
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DOI: https://doi.org/10.1007/978-3-319-95168-3_23
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